Motion planning for autonomous driving: The state of the art and future perspectives
Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …
convenience, safety advantages, and potential commercial value. Despite predictions of …
Chat with chatgpt on intelligent vehicles: An ieee tiv perspective
This letter reports on a TIV DHW (decentralized and hybrid workshop) that explores the
prospective influence of ChatGPT on research and development in intelligent vehicles. To …
prospective influence of ChatGPT on research and development in intelligent vehicles. To …
Learning for vehicle-to-vehicle cooperative perception under lossy communication
Deep learning has been widely used in intelligent vehicle driving perception systems, such
as 3D object detection. One promising technique is Cooperative Perception, which …
as 3D object detection. One promising technique is Cooperative Perception, which …
Path Planning for Autonomous Driving: The State of the Art and Perspectives
S Teng, P Deng, Y Li, B Li, X Hu, Z Xuanyuan… - arXiv preprint arXiv …, 2023 - arxiv.org
Intelligent vehicles (IVs) have attracted wide attention thanks to the augmented
convenience, safety advantages, and potential commercial value. Although a few of …
convenience, safety advantages, and potential commercial value. Although a few of …
SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning
Federated learning (FL) has gained widespread popularity in a variety of industries due to its
ability to locally train models on devices while preserving privacy. However, FL systems are …
ability to locally train models on devices while preserving privacy. However, FL systems are …
Railway virtual coupling: A survey of emerging control techniques
This paper provides a systematic review of emerging control techniques used for railway
virtual coupling (VC) studies. Train motion models are first reviewed, including model …
virtual coupling (VC) studies. Train motion models are first reviewed, including model …
Hierarchical Interpretable Imitation Learning for End-to-End Autonomous Driving
End-to-end autonomous driving provides a simple and efficient framework for autonomous
driving systems, which can directly obtain control commands from raw perception data …
driving systems, which can directly obtain control commands from raw perception data …
MetaMining: Mining in the metaverse
Mines are one of the important energy sources in the world. Due to mining areas are often
affected by adverse weather and environmental conditions (sand, dust, extreme cold, heavy …
affected by adverse weather and environmental conditions (sand, dust, extreme cold, heavy …
The Use of Intelligent Vehicles and Artificial Intelligence in Mining Operations: Ethics, Responsibility, and Sustainability
S Ge, Y Xie, K Liu, Z Ding, E Hu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This letter is resulted from IEEE TIV's Decentralized and Hybrid Workshops (DHW) on
Autonomous Mining (AM). We have already conducted 2 distributed/decentralized and …
Autonomous Mining (AM). We have already conducted 2 distributed/decentralized and …
Global-Local-Feature-Fused Driver Speech Emotion Detection for Intelligent Cockpit in Automated Driving
W Li, J Xue, R Tan, C Wang, Z Deng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Affective interaction between the intelligent cockpit and humans is becoming an emerging
topic full of opportunities. Robust recognition of the driver's emotions is the first step for …
topic full of opportunities. Robust recognition of the driver's emotions is the first step for …